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Author (up) Goyal, N.; Ojha, C.S.P.; Burn, D.H. url  doi
  Title Machine Learning Algorithms and Their Application in Water Resources Management Type Book Chapter
  Year 2017 Publication Abbreviated Journal  
  Volume Issue Pages  
  Abstract Data-driven machine algorithms may be used in hydrology and water resources management. These methods, which originated from artificial intelligence, have been successfully used in water resources planning, management, and control. Researchers and practitioners in hydroclimatology sciences may also be interested in applying these new methods to their work. The chapter first illustrates the machine-learning algorithms as a downscaling approach by describing principles and brief details. Then, it describes an example of the authors; work on projecting precipitation using decision tree algorithms. The chapter also covers another application that includes use of artificial neural network (ANN) in rainfall-runoff modeling. Finally, the chapter draws relevant conclusions on the applicability of the mentioned methods and the future role of computational intelligence in modeling and planning of water resources.  
  Corporate Author Thesis  
  Publisher ASCE Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number FHL @ info @ doi:10.1061/9780784414767.ch06 Serial 1279  
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